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Proceedings Paper

Automatic analysis of images
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Paper Abstract

A new approaches and computer codes (A&CC) for automatic analysis of images are offered. The A&CC are based on presentation of object image as a collection of pixels of various colours and consecutive painting of distinguished itself parts of the image in unusual manner. The A&CC have technical objectives centred on such direction as: 1) image processing (filtration, elimination of noise, segmentation), 2) image feature extraction, 3) image analysis, 4) recognition of image and object and some others. Additional possibilities of the A&CC dealing with usage of artificial neural networks technologies. The A&CC allows to obtain various geometrical and statistical parameters of object image and object. Among them: coordinates and maximum values of cross sizes of every individual part of object image, its square and perimeter, histogram of individual parts with respect to size as well as with respect to type, to form, etc. The opportunities of the A&CC are tested at image analysis of model fires and plumes of the sprayed fluid, ensembles of particles, at a decoding of interferometric images, for elimination of a noise of the images, for filtration of the image, at detection of objects.

Paper Details

Date Published: 7 June 2004
PDF: 6 pages
Proc. SPIE 5301, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications V, (7 June 2004); doi: 10.1117/12.525441
Show Author Affiliations
Victor Sergeyevich Abrukov, Chuvash State Univ. (Russia)
Cheboksary Institute of the Moscow State Open Univ. (United States)

Published in SPIE Proceedings Vol. 5301:
Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications V
Nitin Sampat; Morley M. Blouke; Ricardo J. Motta, Editor(s)

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